Analysis of the 3-D Evolution Characteristics of Ionospheric Anomalies During a Geomagnetic Storm Through Fusion of GNSS and COSMIC-2 Data-Reference-Cited by-同舟云学术

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Analysis of the 3-D Evolution Characteristics of Ionospheric Anomalies During a Geomagnetic Storm Through Fusion of GNSS and COSMIC-2 Data

Published:2022 Issue: Volume:60 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Yang¹,Yao Yibin²^ORCID,Kong Jian³^ORCID,Zhai Changzhi⁴^ORCID,Chen Xuanxi¹,Shan Lulu¹^ORCID

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

2. School of Geodesy and Geomatics and the Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan, China

3. Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China

4. School of Earth Sciences and Engineering, Hohai University, Nanjing, China

Funder

National Natural Science Foundation of China

General Fund Project of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09817382.pdf?arnumber=9817382

Reference37 articles.

1. Global Ionosphere Maps of VTEC from GNSS, satellite altimetry, and formosat-3/COSMIC data

2. Regional 4-D modeling of the ionospheric electron density from satellite data and IRI

3. Using the Global Navigation Satellite System and satellite altimetry for combined Global Ionosphere Maps

4. Ionospheric Data Assimilation Three-Dimensional (IDA3D): A global, multisensor, electron density specification algorithm

5. Optimizing the NeQuick Topside Scale Height Parameters Through COSMIC/FORMOSAT-3 Radio Occultation Data

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1. Improving the Computerized Ionospheric Tomography Performance Through a Neural Network-Based Initial IED Prediction Model;IEEE Transactions on Geoscience and Remote Sensing;2024

2. 3‐D Regional Imaging of Ionosphere Over Africa Through Assimilating Satellite and Ground‐Based Data;Journal of Geophysical Research: Space Physics;2023-02

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